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A deep learning approach to automatic detection of early glaucoma from visual fields
PURPOSE: To investigate the suitability of multi-scale spatial information in 30(o) visual fields (VF), computed from a Convolutional Neural Network (CNN) classifier, for early-glaucoma vs. control discrimination. METHOD: Two data sets of VFs acquired with the OCTOPUS 101 G1 program and the Humphrey...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261540/ https://www.ncbi.nlm.nih.gov/pubmed/30485270 http://dx.doi.org/10.1371/journal.pone.0206081 |